2010
DOI: 10.1007/978-3-642-15696-0_68
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Text Detection in Natural Images Based on Character Classification

Abstract: Abstract.Text information in images is very important for image understanding. In this paper, a text location method based on character classification is proposed. The and-valley image (AVI) and the and-ridge image (ARI) are first extracted from the input image. Then character components are detected from the AVI and ARI respectively, and then these components are sent to a character classifier. Finally,text region can be generated by merging all the recognized components. This approach is robust to font style… Show more

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Cited by 6 publications
(6 citation statements)
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“…8-direction gradient direction features are extracted for character classification which is different to [24] • Group all character connected components to text regions.…”
Section: ) "Yi's Method"mentioning
confidence: 99%
See 1 more Smart Citation
“…8-direction gradient direction features are extracted for character classification which is different to [24] • Group all character connected components to text regions.…”
Section: ) "Yi's Method"mentioning
confidence: 99%
“…In our system T area = 0.6, s1, s2 and s3 are decided according to the input image's width and height: s1=0.5, s2 = 1, s3=2, if max(width,height) > 1600 s1=1, s2=2, s3=4, else if max(width,height) > 800 s1=1, s2=2, s3=6 otherwise The detection method on each scaled image includes the following steps [24]:…”
Section: ) "Yi's Method"mentioning
confidence: 99%
“…In each of the scales, the And-Ridge and And-Valley images are calculated as detailed in [16]. Connected component analysis is then performed in the above images, and resulting components are subsequently classified as character and non-character.…”
Section: Participating Methodsmentioning
confidence: 99%
“…For these reasons in the last decades many "smart systems" tried to address the so-called OCR in unconstrained environments (see, for instance, [47][48][49][50][51] ) in the attempt of bridging the gap between automatic document reading (which has largely been solved for printed latin characters) and a more generic automatic reading. In recent years, large improvements have been made in this direction.…”
Section: Detecting and Reading Charactersmentioning
confidence: 99%